Monk, Bradley J.

3 The full, final text of this abstract will be available at abstract.asco.org at 7:30 AM (EDT) on Sunday, June, 2, 2013, and in the Annual Meeting Proceedings online supplement to the June 20, 2013, issue of Journal of Clinical Oncology. Onsite at the Meeting, this abstract will be printed in the Sunday edition of ASCO Daily News.

5534 Purpose: A number of patients with advanced/recurrent cervical cancer do not respond to cisplatin-based chemotherapy. A pool analysis of three published phase III GOG studies was undertaken to identify the predictive factors and develop a model predictive of (non-) response to chemotherapy. Methods: The study population consisted of patients who received single-agent cisplatin or a cisplatin-containing combination in GOG protocols 110, 169 and 179. Prognostic variables (age, race, performance status, stage, histology, grade, disease site, prior chemotherapy—with primary radiation, time to recurrence, single-agent versus combination) were analyzed and multivariate analysis was conducted to identify factors independently predictive of response and survival. These analyses were used to establish a predictive model. Results: 816 patients were evaluable for response. In addition to single-agent treatment, multivariate analysis identified six factors (age, African-American, PS > 0, pelvic disease, prior radiosensitizer, recurrence ≤ one year) independently predictive of poor response. Those factors, but not age and African-American, were also independently associated with increased risk of death. 428 patients treated with a cisplatin- containing combination were classified into three risk groups based on the total number of risk factors (low risk: 0–1 factor; mid risk: 2–3 factors; high risk: 4–5 factors). Patients with 4–5 of risk factors were predicted to have a treatment response of only 13% (observed 10%), and median progression-free and overall survival of PFS of 2.8 months and 5.5 months, respectively. This subgroup of patients consist ∼14% of the target population in clinical practice. The predictive model was externally validated using GOG protocol 149 data that were not used for model development and further supported the predictive accuracy. Conclusions: High risk patients should be directed to non-cisplatin chemotherapy or investigational trials. No significant financial relationships to disclose.

3 Background: Vascular endothelial growth factor (VEGF) promotes angiogenesis, a mediator of disease progression in cervical cancer. Bevacizumab (B), a humanized anti-VEGF monoclonal antibody, has shown single-agent activity in pretreated recurrent disease. We aimed to evaluate B in chemotherapy (CTX)-naive recurrent/persistent/metastatic cervical cancer. Methods: Using a 2x2 factorial design, patients were randomly assigned to CTX with or without B 15 mg/kg. The CTX regimens included cisplatin 50 mg/m2 plus paclitaxel 135-175 mg/m2 and topotecan 0.75 mg/m2 d1-3 plus paclitaxel 175 mg/m2d1. Cycles were repeated every 21 days until disease progression, unacceptable toxicity, or complete response. Overall survival (OS) was the primary endpoint with a reduction in the hazard of death by 30% using anti-VEGF therapy considered important (90% power, 1-sided alpha=2.5%). Final analysis was planned when 346 deaths were observed. Results: 452 patients were accrued from 4/6/09 to 1/3/12. The scheduled interim analysis occurred after 174 patients had died and showed that the topotecan-paclitaxel backbone was not superior to the cisplatin-paclitaxel backbone. A second interim analysis was conducted after 271 deaths. A total of 225 patients received CTX alone and 227 patients received CTX plus B. The randomized treatment groups were similar with regard to age, histology, performance status, previous platinum as a radiosensitizer, and recurrence, persistence, or advanced disease. The B-to-no-B hazard ratio (HR) of death was 0.71 (97.6% CI 0.54-0.95; 1-sided p=0.0035). Median survival was 17 m (CTX plus B) and 13.3 m (CTX alone). The RR were 48% (CTX plus B) and 36% (CTX alone) (p=0.0078). Treatment with B was associated with more grade 3-4 bleeding (5 vs 1%) thrombosis/embolism (9 vs 2%), and GI fistula (3 vs 0%). Conclusions: For the first time a targeted agent significantly improved OS in gynecologic cancer. The second interim analysis crossed the boundary for efficacy, warranting early release of this information. The nearly 4-month increase in median OS with the addition of B to CTX in women with recurrent cervical cancer is considered to be clinically significant. Clinical trial information: NCT00803062.

Abstract Purpose: Somatic mosaic mutation in the PPM1D gene have been associated with risk of breast and ovarian cancer. Somatic mosaic mutations in blood cells may be associated with older age and chemotherapy exposure. We wanted to determine if somatic mosaic mutations in PPM1D and in other genes are associated with older age and repeated exposure to chemotherapy, rather than a contributor to risk of disease. Experimental design: We used targeted capture and massively parallel genomic sequencing to sequence DNA from PBMCs from affected patients for PPM1D as well as 60 other DNA repair genes. For a number of samples with PPM1D mutations, we re-sequenced at greater depth on patients where PBMCs that were collected at diagnosis and recurrence. Results: We identified somatic mosaic mutations in exon 6 of PPM1D in 4 out of 474 (0.8%) individuals that were newly diagnosed and had no previous chemotherapy, in 3 out of 29 (10%) individuals newly diagnosed but receiving chemotherapy and in 58 of 274 (21%) individuals with relapsed platinum resistant ovarian cancer (p<0.0001). The presence of PPM1D mutations in exon 6 was strongly associated with more advanced age (p=0.011, Wilcoxon test) and more than one chemotherapy regimen (p=0.026, Fisher's exact test). In paired blood samples from 13 patients, PPM1D mutations present at relapse were either not detected or detected at a lower percentage compared to blood obtained soon after diagnosis. Somatic mosaic mutations were also identified in TP53 in 7 of 274 (2.5%) women with relapsed platinum resistant cancer. In one of these cases, we had an earlier blood sample from diagnosis in which the mutation was not present at time near diagnosis. Conclusion: We found that somatic mosaic PPM1D mutations in PMBCs are associated with advanced age and repeated exposure to chemotherapy. Mosaic mutations in other genes were not confirmed with the exception of TP53, for which mutations are also detectable after extensive treatment. It seems likely that mosaic PPM1D mutations in blood from cancer patients may be a result of selection by chemotherapy of age-induced somatic mutations during exposure to chemotherapy. Further studies are needed to determine the clinical significance of these mutations. Citation Format: Maria I. Harrell, Barbara M. Norquist, Tom Walsh, Mark F. Brady, Ming K. Lee, Robert Hershberg, Kimberly R. Kalli, Heather Lankes, Eric Q. Konnick, Colin C. Pritchard, Bradley J. Monk, John K. Chan, Robert Burger, Scott H. Kaufmann, Michael J. Birrer, Elizabeth M. Swisher. Old age and chemotherapy contribute to the selection of PPM1D somatic mosaic mutations in ovarian cancer. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research: Exploiting Vulnerabilities; Oct 17-20, 2015; Orlando, FL. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(2 Suppl):Abstract nr B71.

Abstract Purpose: In the randomized phase III trial, Gynecologic Oncology Group (GOG) protocol 240, the incorporation of bevacizumab with chemotherapy significantly increased overall survival (OS) in women with advanced cervical cancer. A major objective of GOG-240 was to prospectively analyze previously identified pooled clinical prognostic factors known as the Moore criteria. Experimental Design: Potential negative factors included black race, performance status 1, pelvic disease, prior cisplatin, and progression-free interval <365 days. Risk categories included low-risk (0–1 factor), mid-risk (2–3 factors), and high-risk (4–5 factors). Each test of association was conducted at the 5% level of significance. Logistic regression and survival analysis was used to determine whether factors were prognostic or could be used to guide therapy. Results: For the entire population (n = 452), high-risk patients had significantly worse OS (P < 0.0001). The HRs of death for treating with topotecan in low-risk, mid-risk, and high-risk subsets are 1.18 [95% confidence interval (CI), 0.63–2.24], 1.11 (95% CI, 0.82–1.5), and 0.84 (95% CI, 0.50–1.42), respectively. The HRs of death for treating with bevacizumab in low-risk, mid-risk, and high-risk subsets are 0.96 (95% CI, 0.51–1.83; P = 0.9087), 0.673 (95% CI, 0.5–0.91; P = 0.0094), and 0.536 (95% CI, 0.32–0.905; P = 0.0196), respectively. Conclusions: This is the first prospectively validated scoring system in cervical cancer. The Moore criteria have real-world clinical applicability. Toxicity concerns may justify omission of bevacizumab in some low-risk patients where survival benefit is small. The benefit to receiving bevacizumab appears to be greatest in the moderate- and high-risk subgroups (5.8-month increase in median OS). Clin Cancer Res; 21(24); 5480–7. ©2015 AACR.

Purpose To prospectively assess the impact of treatment with cisplatin alone or in combination with topotecan (CT) on quality of life (QOL) in patients with advanced or recurrent cervical cancer, and to explore the prognostic value of baseline QOL scores. Patients and Methods Patients entered on Gynecologic Oncology Group (GOG) Protocol 179 were expected to complete QOL assessments at four time points using Functional Assessment of Cancer Therapy–General (FACT-G), Cervix subscale (Cx subscale), FACT/GOG–Neurotoxicity subscale (NTX subscale), Brief Pain Inventory (BPI), and UNISCALE (UNI). Adjusting for patient age, baseline scores, and effects of time, we longitudinally examined treatment effect on QOL during and after chemotherapy. Results Among patients randomly allocated to receive cisplatin (n = 146) or CT (n = 147), there were no statistically significant differences in QOL up to 9 months after randomization despite more hematologic toxicity in the combination arm. QOL assessments were completed at rates of 98%, 85%, 68%, and 59%, respectively, for the four time points, with similar rates and reasons for nonparticipation between regimens. Baseline FACT-G (P = .0016) and BPI (P = .0001) scores were significantly associated with patient age; older patients had better QOL and less pain. Baseline UNI was positively correlated with FACT-G (r = 0.66; P < .001) and Cx subscale (r = 0.29; P < .001), and negatively related to BPI (r = −0.41; P < .0001). Baseline FACT-Cx (FACT-G + Cx subscale) was associated with survival. Conclusion Despite increased toxicity, CT did not significantly reduce patient QOL when compared with cisplatin alone. Patient-reported QOL measures may be an important prognostic tool in advanced cervix cancer.